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- W2988891295 abstract "Importance of robots in industrial applications is a well-known fact. There are many tasks in industries, which can't be done alone by a robot or alone by a worker. Therefore, there is a need to establish a reliable and safe interaction environment between robots and workers. To do so, some information about the worker should be conveyed to the robot. This article focuses on industrial Human-Robot Interaction. For a safe and efficient Human-Robot Interaction, a robot needs to know about worker's position, posture and gesture. This paper proposes integration of an Inertial Measurement Unit (IMU) and a 3D camera as an image sensor to eliminate each other drawbacks and applies machine learning algorithm to detect postures and gestures of worker. Some experimental results during the interaction with heavy-duty robot will be presented" @default.
- W2988891295 created "2019-11-22" @default.
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- W2988891295 date "2019-03-01" @default.
- W2988891295 modified "2023-09-26" @default.
- W2988891295 title "Integration of Camera and Inertial Measurement Unit for Entire Human Robot Interaction Using Machine Learning Algorithm" @default.
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- W2988891295 doi "https://doi.org/10.1109/ssd.2019.8893167" @default.
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